It's becoming more clear that for big enterprises to really adopt AI, they need to use open models. Especially if they want to own their own intelligence, which they should.
I spent the last 2 days building basic AI agents to automate some mundane supply chain workflows for a large company. Those seemingly boring workflows had bank statements, supplier IDs and other sensitive information.
For me it was all alarm bells, there is no way they can afford to give closed models access to this data. I was compelled to figure out an open model based solution for them, which made me realize that this is probably the only way for enterprises going forward.
If you don't believe AWS follows their ToS, you shouldn't use any cloud provider for CPU/data storage/anything else either. That's not a mainstream position in the industry.
Zaraif13 · · focus · HN ↗
I spent the last 2 days building basic AI agents to automate some mundane supply chain workflows for a large company. Those seemingly boring workflows had bank statements, supplier IDs and other sensitive information.
For me it was all alarm bells, there is no way they can afford to give closed models access to this data. I was compelled to figure out an open model based solution for them, which made me realize that this is probably the only way for enterprises going forward.
tomp · · focus · HN ↗
So if you're running open models on AWS GPUs, you might as well run Claude (which AWS supports, and doesn't share any data with Anthropic).
Same with Azure/OpenAI.
monegator · · focus · HN ↗
I want to believe (pinky promises from terms of service don't count)
criemen · · focus · HN ↗